Wooldridge Source: P. Wolfson and D. Belman (2004), “The Minimum Wage: Consequences for Prices and Quantities in Low-Wage Labor Markets,” Journal of Business & Economic Statistics 22, 296-311. Professor Belman kindly provided the data. Data loads lazily.
data('minwage')A data.frame with 612 observations on 58 variables:
emp232: employment, sector 232, 1000s
wage232: hourly wage, sector 232, $
emp236:
wage236:
emp234:
wage234:
emp314:
wage314:
emp228:
wage228:
emp233:
wage233:
emp394:
wage394:
emp231:
wage231:
emp226:
wage226:
emp387:
wage387:
emp056:
wage056:
unem: civilian unemployment rate, percent
cpi: Consumer Price Index (urban), 1982-1984 = 100
minwage: Federal minimum wage, $/hour
lemp232: log(emp232)
lwage232: log(wage232)
gemp232: lemp232 - lemp232[_n-1]
gwage232: lwage232 - lwage232[_n-1]
lminwage: log(minwage)
gmwage: lminwage - lminwage[_n-1]
gmwage_1: gmwage[_n-1]
gmwage_2:
gmwage_3:
gmwage_4:
gmwage_5:
gmwage_6:
gmwage_7:
gmwage_8:
gmwage_9:
gmwage_10:
gmwage_11:
gmwage_12:
lemp236:
gcpi: lcpi - lcpi[_n-1]
lcpi: log(cpi)
lwage236:
gemp236:
gwage236:
lemp234:
lwage234:
gemp234:
gwage234:
lemp314:
lwage314:
gemp314:
gwage314:
t: linear time trend, 1 to 612
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
The sectors corresponding to the different numbers in the data file are provided in the Wolfson and Bellman and article.
Used in Text: pages 379, 410, 444-445, 674-675
str(minwage)
#> 'data.frame': 612 obs. of 58 variables:
#> $ emp232 : num 271 272 269 263 258 ...
#> $ wage232 : num 0.86 0.86 0.86 0.86 0.87 ...
#> $ emp236 : num 53.1 54.8 52.9 48.3 47.6 ...
#> $ wage236 : num 0.99 1 0.98 0.91 0.93 ...
#> $ emp234 : num 93.4 94.6 95.4 95.2 96.3 ...
#> $ wage234 : num 0.92 0.92 0.91 0.92 0.92 ...
#> $ emp314 : num 254 257 257 254 246 ...
#> $ wage314 : num 0.99 0.98 0.99 0.99 0.99 ...
#> $ emp228 : num 185 185 182 180 174 ...
#> $ wage228 : num 0.91 0.94 0.98 0.98 0.98 ...
#> $ emp233 : num 346 358 358 327 303 ...
#> $ wage233 : num 1.55 1.57 1.54 1.42 1.38 ...
#> $ emp394 : num 79.5 79.5 79.6 78.2 76.2 ...
#> $ wage394 : num 1.03 1.04 1.05 1.05 1.06 ...
#> $ emp231 : num 144 146 147 146 146 ...
#> $ wage231 : num 1.27 1.27 1.27 1.25 1.25 ...
#> $ emp226 : num 90.6 90.7 90.6 89.4 88.6 ...
#> $ wage226 : num 1.07 1.08 1.1 1.13 1.12 ...
#> $ emp387 : num 41.9 42.4 42 41.7 41.6 ...
#> $ wage387 : num 1.07 1.07 1.08 1.09 1.1 ...
#> $ emp056 : num 560 544 572 582 578 ...
#> $ wage056 : num 0.94 0.94 0.96 0.98 0.97 ...
#> $ unem : num NA NA NA NA NA NA NA NA NA NA ...
#> $ cpi : num 21.5 21.5 21.9 21.9 21.9 ...
#> $ minwage : num 0.4 0.4 0.4 0.4 0.4 ...
#> $ lemp232 : num 5.6 5.61 5.59 5.57 5.55 ...
#> $ lwage232 : num -0.151 -0.151 -0.151 -0.151 -0.139 ...
#> $ gemp232 : num NA 0.00663 -0.01405 -0.02259 -0.01767 ...
#> $ gwage232 : num NA 0 0 0 0.0116 ...
#> $ lminwage : num -0.916 -0.916 -0.916 -0.916 -0.916 ...
#> $ gmwage : num NA 0 0 0 0 0 0 0 0 0 ...
#> $ gmwage_1 : num NA NA 0 0 0 0 0 0 0 0 ...
#> $ gmwage_2 : num NA NA NA 0 0 0 0 0 0 0 ...
#> $ gmwage_3 : num NA NA NA NA 0 0 0 0 0 0 ...
#> $ gmwage_4 : num NA NA NA NA NA 0 0 0 0 0 ...
#> $ gmwage_5 : num NA NA NA NA NA NA 0 0 0 0 ...
#> $ gmwage_6 : num NA NA NA NA NA NA NA 0 0 0 ...
#> $ gmwage_7 : num NA NA NA NA NA NA NA NA 0 0 ...
#> $ gmwage_8 : num NA NA NA NA NA NA NA NA NA 0 ...
#> $ gmwage_9 : num NA NA NA NA NA NA NA NA NA NA ...
#> $ gmwage_10: num NA NA NA NA NA NA NA NA NA NA ...
#> $ gmwage_11: num NA NA NA NA NA NA NA NA NA NA ...
#> $ gmwage_12: num NA NA NA NA NA NA NA NA NA NA ...
#> $ lemp236 : num 3.97 4 3.97 3.88 3.86 ...
#> $ gcpi : num NA 0 0.0184 0 0 ...
#> $ lcpi : num 3.07 3.07 3.09 3.09 3.09 ...
#> $ lwage236 : num -0.0101 0 -0.0202 -0.0943 -0.0726 ...
#> $ gemp236 : num NA 0.0315 -0.0353 -0.091 -0.0146 ...
#> $ gwage236 : num NA 0.0101 -0.0202 -0.0741 0.0217 ...
#> $ lemp234 : num 4.54 4.55 4.56 4.56 4.57 ...
#> $ lwage234 : num -0.0834 -0.0834 -0.0943 -0.0834 -0.0834 ...
#> $ gemp234 : num NA 0.01277 0.00842 -0.0021 0.01149 ...
#> $ gwage234 : num NA 0 -0.0109 0.0109 0 ...
#> $ lemp314 : num 5.54 5.55 5.55 5.54 5.5 ...
#> $ lwage314 : num -0.0101 -0.0202 -0.0101 -0.0101 -0.0101 ...
#> $ gemp314 : num NA 0.01058 0.00117 -0.01214 -0.03203 ...
#> $ gwage314 : num NA -0.0102 0.0102 0 0 ...
#> $ t : int 1 2 3 4 5 6 7 8 9 10 ...
#> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"